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All Journal JUITA : Jurnal Informatika Jurnal Pengabdian UntukMu NegeRI JRST (Jurnal Riset Sains dan Teknologi) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Journal of Software Engineering and Information System (SEIS) Journal of Progressive Information, Security, Computer and Embedded System
Bayu Anugerah Putra
Teknik Informatika, Universitas Muhammadiyah Riau
Religion Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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MULTIMODAL TEKS-NUMERIK: TINJAUAN SISTEMATIS TENTANG TEKNIK FUSI, KOMPATIBILITAS ENCODER, DAN KINERJA MODEL Dipo Oktavian; Bayu Anugrah Putra
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 10 No. 2 (2026): JATI Vol. 10 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v10i2.17353

Abstract

Integrasi data multimodal teks dan numerik menawarkan nilai prediktif yang lebih tinggi dibandingkan penggunaan modalitas tunggal. Namun, perbedaan karakteristik struktural antar-modalitas dan kompleksitas penyelarasan representasi sering menghasilkan performa suboptimal jika desain encoder dan mekanisme fusi tidak ditangani secara adaptif.Penelitian ini bertujuan mengkaji pengaruh arsitektur encoder dan strategi fusi terhadap kinerja model dalam skenario integrasi teks-numerik.Kajian dilakukan melalui pendekatan Systematic Literature Review (SLR) terhadap 28 studi terpilih dari rentang tahun 2019 hingga 2025.Temuan menunjukkan bahwa intermediate fusion mendominasi arsitektur multimodal, di mana mekanisme attention dan gating memberikan peningkatan performa yang lebih signifikan dibandingkan teknik concatenation. Analisis juga mengungkapkan bahwa kontribusi modalitas bersifat domain-specific; teks mendominasi tugas semantik, sementara numerik unggul pada data sinyal fisik, sehingga kompatibilitas antara encoder dan strategi fusi menjadi kunci efektivitas model.
Efektivitas Sosialisasi Narkotika, Psikotropika, dan Zat Adiktif (NAPZA) dalam Meningkatkan Pengetahuan dan Kesadaran Siswa SMP Negeri 05 Sungai Apit Anugerah Putra, Bayu; Soni, Soni; Gunawan, Rahmad; Fatma, Yulia; Firdaus, Rahmad; Taufiq, Reny Medikawati; Handayani, Fitri; Mukhtar, Harun; Mualfah, Desti; Azim, Fauzan; Aprilya, Regiesta Lintang; Ramadhan, Rafi Fakhri; Abadi, Abdi Nauli
Jurnal Pengabdian UntukMu NegeRI Vol. 10 No. 2 (2026): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v10i2.11302

Abstract

The abuse of narcotics, psychotropic drugs, and addictive substances (NAPZA) is a major problem that threatens the future of adolescents, especially junior high school students. Many students do not fully understand the dangers of NAPZA, making them vulnerable to the influence of their surroundings. Therefore, this study was conducted to determine the extent to which NAPZA awareness activities have succeeded in increasing the knowledge and awareness of students at SMP Negeri 05 Sungai Apit regarding the dangers of drug abuse. This study used a qualitative descriptive method with a field study approach. Data were obtained through material presentations and questions given to students after the socialization was conducted. The results showed an increase in students' knowledge about the types of NAPZA, their negative effects, and ways to prevent their abuse. Students were also better able to recognize the factors that could trigger abuse and showed a refusal to try NAPZA. The conclusion of this study states that NAPZA socialization is effective in increasing knowledge and forming a preventive attitude among students at SMP Negeri 05 Sungai Apit. Therefore, activities such as this need to be carried out regularly and continuously to create a healthy, safe, and NAPZA-free school environment.
Prediksi Keberhasilan Akademik Siswa Berbasis Fitur Kategorikal Na-tive dengan Explainable AI (SHAP) menggunakan CatBoost vs LightGBM Anugerah Putra, Bayu; Soni, Soni; Firdaus, Rahmad; Putri, Ayunda; Dwi Sanggar Wati, Anisa
JURNAL FASILKOM Vol. 16 No. 2 (2026): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v16i2.12360

Abstract

Prediction of students academic success is important to support decision-making in education. Educational datasets are generally dominated by categorical variables that require encoding before modeling, which may cause information loss and reduce accuracy. This study applies the CatBoost algorithm, which processes categorical variables natively without additional encoding, to predict students' Exam Score on the Student Performance Factors dataset from Kaggle, with LightGBM used as a comparison model. Evaluation was carried out under three data-split schemes (70:30, 80:20, 90:10) using k-fold cross-validation and three regression metrics (R², MAE, RMSE), followed by model interpretation using Shapley Additive Explanations (SHAP). The results show that CatBoost consistently outperforms LightGBM across all schemes, with the best performance obtained under the 90:10 scheme (CatBoost: R² = 0.851, MAE = 0.475, RMSE = 1.414; LightGBM: R² = 0.809, MAE = 0.758, RMSE = 1.599). SHAP analysis identifies Attendance, Hours_Studied, and Previous_Scores as the most influential features in the prediction. These findings confirm that combining CatBoost with SHAP produces an academic prediction model that is both accurate and transparen.
KERLIP-QUEST: Gamifikasi Token Economy Berbasis Web-App Localhost untuk Atasi Krisis Partisipasi Anak Tidak Sekolah PKBM Koto Tuo Anugerah Putra, Bayu; Habibullah, Husnul Qadri; Syenly, Annisa Suci Dwi; Rotama, Doni Iskandar; Suhendar, Aldi
Jurnal Pengabdian UntukMu NegeRI Vol. 10 No. 2 (2026): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v10i2.12655

Abstract

Keterbatasan waktu tatap muka, perangkat, dan akses internet menjadi tantangan pembelajaran bagi warga belajar Paket B dan C di PKBM Rumah Kerlip Beriman. Program KERLIP-QUEST bertujuan menerapkan pembelajaran terintegrasi berbasis misi yang interaktif, efisien, dan berkelanjutan. Pelaksanaan program meliputi identifikasi kebutuhan, pengembangan E-Modul dan aplikasi web luring berbasis localhost, pembelajaran melalui permainan edukatif, penerapan token economy, evaluasi melalui pre-test, post-test, dan observasi perilaku, serta pendampingan tutor. Program juga dilengkapi pelatihan pembuatan sabun cuci piring dan lilin aromaterapi. Hasil kegiatan menunjukkan bahwa KERLIP-QUEST mampu menghadirkan pembelajaran yang lebih aktif dan kontekstual, mengoptimalkan penggunaan satu laptop dan proyektor tanpa koneksi internet, mendukung digitalisasi absensi, serta mendorong motivasi dan persaingan sehat melalui papan peringkat dan sistem penghargaan. E-Modul, aplikasi web, dan buku pedoman disiapkan untuk mendukung keberlanjutan program.
Co-Authors ., Farid Hasfindra Abadi, Abdi Nauli Addarisalam, Alif Ali, Zurrahman Muhammad Alris Gusnanda Amran, Hasanatul Fu'adah Andi Sunyoto Anggraini, Chelina Aprilya, Regiesta Lintang Aryanto Ayunda Putri Baidarus Br Bangun, Elsi Titasari Dian Utami Dipo Oktavian Durades, M.Azri Dwi Sanggar Wati, Anisa Elsi Titasari Br Bangun Fakhira Frisya Ramadhani Fatma, Yulia Fauzan Azim Fauzan Azim Fitri Handayani Fitri Handayani Gunawan, Rahmad Gusnanda, Alris Habibullah, Husnul Qadri Hanum Salsabila Haris, Aidil Harun Mukhtar Jhidan Daelvin Hendra Jihan Aulia Khusyaini, Ilham Kurniawan, Muhammad Irgi Lorenza, Dina Lutfi Mz, Al Agib Maharani, Masti Fatchiyah Maisyarah, Adila Mardiya, Ainul Mualfah, Desti Muchtadi, Bill Fikra Muhammad Isbar Pratama NUR FADILAH Nur Fadilah Nurwijayanti Pradipa, Raditya Prasasti, Aditia Rahmad Firdaus Ramadhan, Rafi Fakhri Ramanda, Yuki Rayhan, Aqeel Retantyo Wardoyo Rico Apriandika Rizki, Rafi Hamdan Rotama, Doni Iskandar Septiana Srinandini Shafwan, Affif Dzaky Soni Soni Soni, Soni Suhendar, Aldi Sunanto Sunanto Syahrul R, Syahrul Syenly, Annisa Suci Dwi Taufiq, Reny Medikawati Yudha Islami Sulistya Yulia Fatma